Please use this identifier to cite or link to this item: https://doi.org/10.1088/0305-4470/28/1/005
DC FieldValue
dc.titleSynapse removal in discrete neural networks
dc.contributor.authorViswanathan, R.
dc.date.accessioned2014-11-27T09:45:49Z
dc.date.available2014-11-27T09:45:49Z
dc.date.issued1995
dc.identifier.citationViswanathan, R. (1995). Synapse removal in discrete neural networks. Journal of Physics A: Mathematical and General 28 (1) : L25-L30. ScholarBank@NUS Repository. https://doi.org/10.1088/0305-4470/28/1/005
dc.identifier.issn03054470
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111213
dc.description.abstractThe effect of removing synapses of particular magnitudes on the retrieval property of perceptron neural networks is determined by means of a space-of-interactions calculation. For a discrete state perceptron, an asymptotic (in number of input neurons) upper bound on the number of errors made in a set of given stored patterns due to synapse removal is computed as a function of the number and size of synapses removed.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.doi10.1088/0305-4470/28/1/005
dc.description.sourcetitleJournal of Physics A: Mathematical and General
dc.description.volume28
dc.description.issue1
dc.description.pageL25-L30
dc.identifier.isiutA1995QB10300005
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

1
checked on Nov 28, 2020

Page view(s)

70
checked on Nov 28, 2020

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.